| 书目名称 | Engineering Applications of Modern Metaheuristics |
| 编辑 | Taymaz Akan,Ahmed M. Anter,Diego Oliva |
| 视频video | |
| 概述 | Provides the reader with the most representative optimization tools used for scientific and engineering problems.Explains the algorithms used, the selected problem, and the implementation.Provides pra |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | .This book is a collection of various methodologies that make it possible for metaheuristics and hyper-heuristics to solve problems that occur in the real world. This book contains chapters that make use of metaheuristics techniques. The application fields range from image processing to transmission power control, and case studies and literature reviews are included to assist the reader. Furthermore, some chapters present cutting-edge methods for load frequency control and IoT implementations. In this sense, the book offers both theoretical and practical contents in the form of metaheuristic algorithms. The researchers used several stochastic optimization methods in this book, including evolutionary algorithms and Swarm-based algorithms. The chapters were written from a scientific standpoint. As a result, the book is primarily aimed at undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, but it can also be used in courses on Artificial Intelligence, among other things. Similarly, the material may be beneficial to research in evolutionary computation and artificial intelligence communities.. |
| 出版日期 | Book 2023 |
| 关键词 | Computational Intelligence; Metaheuristics; Optimization Algorithms; Swarm intelligence; Evolutionary al |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-16832-1 |
| isbn_softcover | 978-3-031-16834-5 |
| isbn_ebook | 978-3-031-16832-1Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 16:06:46
